Analysis Using Bi-Spectral Related Technique

Abstract

This report investigates the use of Bi-spectral related techniques to extract detection/classification clues from time frequency representations. Earlier results have indicated that 1.5-D spectral techniques (a degenerate version of the Bi-spectrum) has potential Signal to Noise Ratio (SNR) gain over conventional techniques. This is partially due to the rejection of Gaussian like perturbations by the cumulant based techniques. The third order moment for Gaussian zero mean random processes is essentially zero. It is assumed that (1) the independence of the Instantaneous Power Spectrum (IPS) from analytic signal representations and (2) the Gaussian character of the noise causes minimal distortion of the output vaxiables, hence permit signal characterization at low to moderate SNRs. The per rm ce is demonstrated on (1) synthetic signals and (2) on segment(s) of the NOSC data set.

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Document Details

Document Type
Technical Report
Publication Date
Nov 17, 1993
Accession Number
ADA276017

Entities

People

  • Ralph Hippenstiel

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Air Platforms
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Classification
  • Computers
  • Data Sets
  • Databases
  • Detection
  • Distortion
  • Engineering
  • Hard Copy
  • Modulation
  • Ocean Surveillance
  • Power
  • Power Spectra
  • Pulsed Power
  • Random Variables
  • Simulations
  • Spectra
  • Spectral Lines

Fields of Study

  • Engineering

Readers

  • Radar Systems Engineering.
  • Statistical inference.